Digital For Humanity - Data analyst intern

Deadline: As soon as possible

Internships

Companies

Location(s)

Online
United Kingdom

Remote/On-site (London)

Overview

Digital For Humanity CIC exists to amplify the goodness of all social enterprises in the world, helping them reach their goals, and thus make the world a better place for all of us.

Details

We are seeking a Data Analyst Intern to join our team and assist with various data analysis projects. The Data Analyst Intern will work closely with our data team to help analyze data, create reports, and provide insights to help drive business decisions.

What you will do

Assisting with the collection and analysis of data to identify trends, patterns, and insights
Creating and maintaining data reports and dashboards to track business performance
Conducting research to inform data analysis strategies and methodologies
Collaborating with team members to develop effective data analysis approaches and methodologies
Providing support to team members on data analysis-related tasks
Participating in team meetings and collaborating on project planning and execution

Opportunity is About

Computers & IT Physics & Math

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Eligibility

Candidates should be from:

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo: Democratic Republic Congo: Republic Cook Islands Costa Rica Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Gibraltar Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, North Korea, South Kosovo UN1244 (*not recognized by majority of countries) Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau North Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Oman Pakistan Palau Palestinian Authority Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States of America Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Western Sahara Yemen Zambia Zimbabwe

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Description of Ideal Candidate

Requirements

Pursuing a degree in Mathematics, Statistics, Computer Science, or a related field
Strong analytical and problem-solving skills
Proficient in Microsoft Excel and/or Google Sheets
Familiarity with statistical analysis tools and methodologies
Strong attention to detail and ability to follow directions
Ability to work independently and as part of a team
Willingness to learn and take on new challenges

Educational Qualification

It doesn’t matter where you went to college or what your CGPA was as long as you are smart,
passionate, ready to work hard and have fun.

Dates

Deadline: As soon as possible

Cost/funding for participants

Fully Funded

Perks & Benefits

Opportunity to gain hands-on experience in the field of data analysis
Exposure to a variety of data analysis projects and methodologies
Opportunity to work with a supportive and experienced data team
Potential for growth and advancement within the company

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